USPTO trademark

CERNA ADAPTIVE PERCEPTION

Under examinationUSPTOWord markClass 9Class 42

"CERNA ADAPTIVE PERCEPTION" is a word mark owned by ML Ops Workbench LLC, filed at the USPTO on September 14, 2026. It is under examination and covers classes 9 and 42.

Official USPTO record
CERNA ADAPTIVE PERCEPTION trademark as filed
As filed with the USPTO
Status
Under examination
Since September 14, 2026
Filed
September 14, 2026
Registered
Not yet
Expires
Not recorded
Application no.
50107330
Registration no.
Not yet
Office
USPTO
United States Patent and Trademark Office
Mark type
Word mark
2 classes
Ownership

Who owns CERNA ADAPTIVE PERCEPTION

The owner and representative on file with the office.

Owner

ML Ops Workbench LLC

Washington, United States

Representative

Sarah I Cohen

Lombard & Geliebter LLP

Goods and services

What the mark covers

The products and services CERNA ADAPTIVE PERCEPTION is filed for, grouped by Nice class.

  • Downloadable computer software, downloadable cloud-enabled computer software, and downloadable computer software platforms for use in data ingestion, data storage, data management, data processing, data integration, data warehousing, data analytics, and machine learning, for orchestrating compute workloads, routing execution, managing storage resources, enforcing security and access controls, and integrating data and compute environments across cloud and on-premises infrastructure, for developing, training, evaluating, deploying, and operating analytical models and machine learning models, for managing clustered file systems, data catalogs, and metadata repositories, for enabling controlled development environments, governance of compute usage, administrative delegation, auditing, and compliance, for machine perception and robotic perception, for processing, analyzing, integrating and interpreting data from cameras, event-based vision sensors and other sensors, for sensor fusion, for object detection, recognition, classification, localization and tracking, scene understanding, motion estimation and environmental perception, for dynamically selecting, configuring or modifying sensors, perception algorithms, machine learning models and data processing parameters based on environmental conditions, task requirements and system state, for developing, testing, training, deploying and operating perception systems for robots, autonomous machines and intelligent devices, for integrating and synchronizing data, workflows, and applications across heterogeneous systems

  • Computer services, namely, hosting, managing, maintaining, and operating software platforms and applications of others for data processing, analytics, and machine learning;; Application service provider services, namely, hosting software for use by others for data integration, workflow execution, synchronization, and interoperability between cloud-based and on-premises systems; Software as a service (SAAS) services and platform as a service (PAAS) services providing computer software and software platforms for use in data ingestion, data storage, data management, data processing, data integration, data warehousing, data analytics, and machine learning, for developing, training, evaluating, deploying, and operating analytical models and machine learning models, for managing clustered file systems, data catalogs, metadata repositories, and data access controls, for machine perception and robotic perception, for processing, analyzing, integrating and interpreting data from cameras, event-based vision sensors and other sensors, for sensor fusion, for object detection, recognition, classification, localization and tracking, for scene understanding, motion estimation and environmental perception, for orchestrating compute workloads, routing execution, managing software development environments, and governing computer usage across distributed computing infrastructure, for dynamically selecting, configuring or modifying sensors, perception algorithms, machine learning models and data processing parameters based on environmental conditions, task requirements and system state, for developing, testing, simulating, training, deploying and operating perception systems for robots, autonomous machines and intelligent devices

History

What has happened so far

Steps recorded by the USPTO, newest first.

  1. Application filing receipt mailed
  2. New application entered
FAQ

About CERNA ADAPTIVE PERCEPTION

Who owns the trademark "CERNA ADAPTIVE PERCEPTION"?

The USPTO trademark "CERNA ADAPTIVE PERCEPTION" (application 50107330) is owned by ML Ops Workbench LLC.

What is the status of "CERNA ADAPTIVE PERCEPTION"?

Its status at the USPTO is: under examination.

API

Get this data via the API

Everything on this page comes from the Signa API. Pull CERNA ADAPTIVE PERCEPTION and marks like it into your own product with one request.

  • GET/v1/trademarks/{id}

    The full record: owners, classes, dates and images

  • GET/v1/trademarks/{id}/events

    Every step in the office history

  • GET/v1/proceedings?trademark_id={id}

    Oppositions and cancellations against the mark

GET /v1/trademarks/{id}
ID=tm_01a0a531-7ca7-7385-a546-fab71ff5e699
curl https://api.signa.so/v1/trademarks/$ID \
  -H "Authorization: Bearer $SIGNA_API_KEY"
Response
{
  "id": "tm_01a0a531-7ca7-7385-a546-fab71ff5e699",
  "object": "trademark",
  "mark_text": "CERNA ADAPTIVE PERCEPTION",
  "status": {
    "primary": "pending",
    "stage": "examining"
  },
  "office_code": "US",
  "application_number": "50107330",
  "filing_date": "2026-09-14",
  "nice_classes": [
    9,
    42
  ],
  "owners": [
    {
      "name": "ML OPS WORKBENCH LLC",
      "entity_id": null
    }
  ]
}